A Digital Twin Threat Survey
Virtual and digital twins are means of high value to characterize, model and control physical systems, providing the basis for a simulation environment and lab. In the case of a digital twin, it is possible to have a replica of a physical environment by means of reliable sensor networks and accurate data. In this paper we analyse in detail the threats to the reliability of the information extracted from these sensor networks, along with a set of challenges to guarantee data liveness and trustworthiness.
Authors
- Andrés Marín (ORCID: https://orcid.org/0000-0001-9350-0669)
- David Arroyo (ORCID: https://orcid.org/0000-0001-8894-9779)
- Mario Sanz (ORCID: https://orcid.org/0000-0001-7201-1444)
- Manuel Suárez Suárez (ORCID: https://orcid.org/0009-0008-2569-6178)
Institutions
- Universidad Nacional de Educación a Distancia (ES)
- Unidades Centrales Científico-Técnicas (ES)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- Big Data and Cognitive Computing
- Published
- 2025-10-02
- DOI
- https://doi.org/10.3390/bdcc9100252
- Citations
- 1
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 1.24